Skip to Content
Keras Deep Learning Cookbook
book

Keras Deep Learning Cookbook

by Rajdeep Dua, Sujit Pal, Manpreet Singh Ghotra
October 2018
Intermediate to advanced
252 pages
6h 49m
English
Packt Publishing
Content preview from Keras Deep Learning Cookbook

How to do it...

In this recipe, we develop a modeling pipeline for classification that tries to classify the spam type into ham or spam. The modeling pipelines use the RMSProp model written using the Keras functional API. 

Import the following libraries for use. pandas is a data analysis library in Python. Numpy is a numerical computation and Keras is a neural network API that will help us create the actual neural network:

from keras.layers import SimpleRNN, Embedding, Dense, LSTMfrom keras.models import Sequentialfrom keras.preprocessing.text import Tokenizerfrom keras.preprocessing.sequence import pad_sequencesimport numpy as npfrom sklearn.metrics import confusion_matriximport matplotlib.pyplot as pltimport pandas as pd
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Applied Deep Learning with Keras

Applied Deep Learning with Keras

Ritesh Bhagwat, Mahla Abdolahnejad, Matthew Moocarme
Advanced Deep Learning with Keras

Advanced Deep Learning with Keras

Rowel Atienza, Neeraj Verma, Valerio Maggio
The Applied TensorFlow and Keras Workshop

The Applied TensorFlow and Keras Workshop

Harveen Singh Chadha, Luis Capelo, Abhranshu Bagchi, Achint Chaudhary, Vishal Chauhan, Alexis Rutherford, Subhash Sundaravadivelu

Publisher Resources

ISBN: 9781788621755Supplemental Content